Articles | Volume 12, issue 8
https://doi.org/10.5194/gmd-12-3523-2019
https://doi.org/10.5194/gmd-12-3523-2019
Development and technical paper
 | 
13 Aug 2019
Development and technical paper |  | 13 Aug 2019

A parallel workflow implementation for PEST version 13.6 in high-performance computing for WRF-Hydro version 5.0: a case study over the midwestern United States

Jiali Wang, Cheng Wang, Vishwas Rao, Andrew Orr, Eugene Yan, and Rao Kotamarthi

Viewed

Total article views: 3,212 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,993 1,158 61 3,212 381 62 73
  • HTML: 1,993
  • PDF: 1,158
  • XML: 61
  • Total: 3,212
  • Supplement: 381
  • BibTeX: 62
  • EndNote: 73
Views and downloads (calculated since 29 Nov 2018)
Cumulative views and downloads (calculated since 29 Nov 2018)

Viewed (geographical distribution)

Total article views: 3,212 (including HTML, PDF, and XML) Thereof 2,869 with geography defined and 343 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 17 Jul 2024
Download
Short summary
WRF-Hydro needs to be calibrated to optimize its output with respect to observations. However, when applied to a relatively large domain, both WRF-Hydro simulations and calibrations require intensive computing resources and are best performed in parallel. This study ported an independent calibration tool (parameter estimation tool – PEST) to high-performance computing clusters and adapted it to work with WRF-Hydro. The results show significant speedup for model calibration.